I spent fall 2017 working with Ferenc Huszár on improving black-box optimization methods for general non-differentiable functions. During summer 2018, while an intern at Microsoft Research Cambridge, I collaborated on a novel class of deep generative models for understanding and programming information processing in biological systems. During summer 2019, while an intern at Google Brain, I collaborated with Durk Kingma on identifiable representation learning by deep discriminative models. In fall of 2019, I joined X, the Moonshot Factory (formerly Google X) as a Resident in core ML. Since February 2020, I have been a 20%-time Resident with the Quantum/AI group at X, working on Bayesian inference for noisy intermediate-scale quantum algorithms.